Damage detection in a fixed-fixed beam using natural frequency changes

Khan, Muhammad Wasif; Din, Naveed Akmal; Haq, Rizwan Ul

doi:10.21595/vp.2019.21081

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…The distance between the simulation points and the measurement points varied widely. Thus, on the bridge deck span, points 3,18,33,48,58,59,64,65,70,71,76, and 77 were selected as simulation points; and between piers, points 86, 89,98,101,115,116,127,128,135,136,147,148,159,160,162,165,174,177,186, and 189 were considered. These points were analyzed for each year of bridge life with constant location.…”

Section: Description Of the Numerical Modelmentioning

confidence: 99%

“…Frequency-domain techniques may create many responses and data points by configuring model-update equations [11]. Mode shape [12,13], modal curvatures [14][15][16], natural frequency [17,18], modal strain energy [19,20], the frequency response function [21,22], and the power spectral density function [23][24][25] are some methods of dynamic frequency-domain approaches. Lastly, required data and information in the timefrequency domain are obtained by changing the recorded signal frequency over time [26].…”

Section: Introductionmentioning

confidence: 99%

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Life-Cycle Cost Assessment Using the Power Spectral Density Function in a Coastal Concrete Bridge

Hadizadeh-Bazaz

Navarro

2023

JMSE

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Recently, the repair and maintenance of structures has been necessary to prevent these structures’ sudden collapse and to prevent human and financial damage. A natural factor in marine environments that destroys structures and reduces their life is the presence of chloride ions. So regular health monitoring of concrete coastal buildings for on-time repair is essential. This study investigates the performance of the power spectral density (PSD) method as a non-destructive damage-detection method to monitor the location and amount of damage caused by chloride ions during a structure’s life using different approaches according to life-cycle assessment (LCA) and life-cycle cost assessment (LCCA). In this regard, chloride corrosion damage dependent on zone distance from seawater was first calculated to obtain the service life of each part of a coastal concrete bridge according to the conventional method. Based on rebar corrosion each year, the next stage forecasted the bridge’s concrete deterioration. The PSD method monitored the annual loss of reinforcement cross-sectional area, changes in dynamic characteristics such as stiffness and mass, and the bridge structure’s life using sensitivity equations and the linear-least-squares algorithm. Finally, according to the location and quality of damage in each year of bridge life until the end of life, LCC and maintenance and repair costs of the PSD method were compared with the conventional method. The results showed that this strategy was very effective at lowering and optimizing the costs of maintenance and repair caused by chloride corrosion.

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Section: Description Of the Numerical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Life-Cycle Cost Assessment Using the Power Spectral Density Function in a Coastal Concrete Bridge

Hadizadeh-Bazaz

Navarro

2023

JMSE

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“…Despite the increased severity of damage, the absence of a peak damage index and the emergence of an unforeseen alternating pattern in the TDI at Segment 2 can be attributed to the fixed support's tendency to constrain the displacement and movement of the structure in that specific segment. Due to its stabilising nature, the fixed support effectively restricts excessive deformation, thereby mitigating potential damage in that segment (Khan et al, 2020). As a result, the response and damage may be relatively lower compared to other segments of the structure.…”

Section: Mode Shape Curvaturementioning

confidence: 99%

Vibration-Based Damage Detection for One-Story Steel Frame Structure Using Mode Shape Curvature

Zong Xiang,

Umar,

Ahmad Shah

et al. 2023

MJCE

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Structural health monitoring techniques, particularly vibration-based damage detection, have gained significance in assessing civil structure condition. This paper focuses on utilising mode shape curvature for damage detection in a one-story steel frame structure. The study aims to overcome traditional inspection limitations by exploring vibration-based approaches. Experimental investigation is conducted to analyse intact and damaged structural modal behaviour. Modal analysis technique extracts modal frequencies and mode shapes, enabling analysis of mode shape curvature for damage detection and localisation. Preliminary findings show that damaged structures display deviations in mode shapes and reduced natural frequencies, providing evidence of structural damage. However, a significant issue arises near the support, where unexpected patterns emerge in the Total Damage Index (TDI) with increasing damage severity. This finding challenges the expected correlation between severity levels and TDI values, highlighting the need to consider factors like fixed supports. Misleading signs of damage in some segments underscore the importance of cautious result interpretation and accounting for noise. Future studies should focus on noise resistance, false indication mitigation, and understanding segments with fixed supports to enhance mode shape curvature analysis’s reliability for damage detection in civil structures.

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“…Among the various signal-based methods are those that operate in either the time domain technique [24,25], the frequency domain technique [26,27], or the time-frequency domain technique [28,29]. Some dynamic frequency-domain approaches used as non-destructive damage detection methods include natural frequencies [30,31], modal curvatures [32,33], modal strain energies [34,35], frequency response functions (FRF) [36,37], and power spectral density (PSD) [38,39]. Of these methods, the PSD is one of the frequency-domain techniques that use the responses of a periodic or randomized stimulus in frequencies to describe the mean power repartition.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of a Coastal Concrete Bridge Aided by Non-Destructive Damage Detection Methods

Hadizadeh-Bazaz,

Navarro,

Yepes

2023

JMSE

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Recently, using economic damage identification techniques to ensure the safety of bridges has become essential. But investigating the performance of those techniques for various conditions and environments and, in addition, a life cycle assessment (LCA) through these methods depending on the situation and during the life of a structure could help specialists and engineers in this field. In these regards, analyzing the implementation of a technique for the restoration and maintenance stages of costly structures such as bridges can illustrate the effect of each damage detection method on the LCA. This research assessed non-destructive abilities and a dynamic approach to predict the amount and location of damages in the LCA. For this purpose, the power spectral density (PSD) technique’s performance by different approaches in identifying corrosion damages for a coastal bridge and the effectiveness of using this technique on reducing the environmental impact compared with a conventional method were evaluated. The results demonstrate a reduction of the environmental impacts by approximately 23% when using the PSD during the bridge’s service life. In conclusion, the PSD approach does well in anticipating the damage quantity and location on a coastal bridge, which reduces the environmental impacts during the repair and maintenance.

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Damage detection in a fixed-fixed beam using natural frequency changes

Cited by 5 publications

References 14 publications

Life-Cycle Cost Assessment Using the Power Spectral Density Function in a Coastal Concrete Bridge

Life-Cycle Cost Assessment Using the Power Spectral Density Function in a Coastal Concrete Bridge

Vibration-Based Damage Detection for One-Story Steel Frame Structure Using Mode Shape Curvature

Life Cycle Assessment of a Coastal Concrete Bridge Aided by Non-Destructive Damage Detection Methods

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